Gabapentin
Product Images NDC 54868-5166

Product Visual Gallery

This gallery contains 8 technical images submitted to the FDA as part of the official labeling for Gabapentin (NDC 54868-5166). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Physicians Total Care, Inc., these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

300 mg Package Label (5166)

The text is not complete or readable. It appears to be a list of medical terms and a dosage amount, but it does not provide enough information to generate a useful description.*

FDA Label Image

100 mg Package Label (5226)

FDA Label Image

400 mg Package Label (5901)

FDA Label Image

D239baac-figure-01 (D239baac Figure 01)

FDA Label Image

D239baac-figure-02 (D239baac Figure 02)

FDA Label Image

D239baac-figure-03 (D239baac Figure 03)

This document appears to be a graph or chart displaying the results of a study on pain management. The graph compares the effect of a placebo to that of Gabapentin, with doses of 1800mg and 2400mg, over a 7-week period. The only textual information provided is a heading titled "Mean Pain Score," the score of 10, and labels for the dosing periods and the treatments. The graph also indicates a statistically significant decrease in pain scores for the Gabapentin treatment groups, with a p-value of <001.*

FDA Label Image

D239baac-figure-04 (D239baac Figure 04)

The text is describing a chart or graph displaying the percentage of responders at the endpoint of two studies labeled "Study 1" and "Study 2". The chart includes percentage values ranging from 2 to 20, as well as the abbreviation "PBEO" and "PBO". It appears to be related to a medical or pharmaceutical study.*

FDA Label Image

D239baac-figure-05 (D239baac Figure 05)

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.